{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "S7mC1dxx2KHk"
   },
   "source": [
    "# LOTR (Lord of the Retreivers)\n",
    "\n",
    "Lord of the Retrievers, also known as MergerRetriever, takes a **list of retrievers** as input and merges the results of their get_relevant_documents() methods into a single list. The merged results will be a list of documents that are relevant to the query and that have been ranked by the different retrievers.\n",
    "\n",
    "The **MergerRetriever** class can be used to improve the accuracy of document retrieval in a number of ways.\n",
    "\n",
    "* First, it can combine the results of multiple retrievers, which can help to reduce the risk of bias in the results.\n",
    "* Second, it can rank the results of the different retrievers, which can help to ensure that the most relevant documents are returned first."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ns34CIQ_2KHn"
   },
   "source": [
    "## Installing neccessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "LgGhcW532KHn"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "!pip install -U langchain langchain-openai huggingface_hub langchain-community\n",
    "!pip install lancedb pypdf sentence-transformers openai\n",
    "!pip install tiktoken\n",
    "!pip install lancedb\n",
    "!pip install sentence-transformers\n",
    "!pip install openai\n",
    "!pip install pypdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "NRMqSM7g54TC"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.environ[\"OPENAI_API_KEY\"] = \"sk-proj-....\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2yw7CbKhTz3e"
   },
   "source": [
    "## Import the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "MYerhqfsxKpM"
   },
   "outputs": [],
   "source": [
    "from langchain.embeddings import (\n",
    "    HuggingFaceEmbeddings,\n",
    "    OpenAIEmbeddings,\n",
    "    HuggingFaceBgeEmbeddings,\n",
    ")\n",
    "import os\n",
    "from langchain.document_transformers import (\n",
    "    EmbeddingsClusteringFilter,\n",
    "    EmbeddingsRedundantFilter,\n",
    ")\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain.retrievers import ContextualCompressionRetriever\n",
    "from langchain.retrievers.document_compressors import DocumentCompressorPipeline\n",
    "from langchain.retrievers.merger_retriever import MergerRetriever\n",
    "from langchain.vectorstores import LanceDB\n",
    "import lancedb\n",
    "from langchain.schema import Document\n",
    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
    "from langchain.document_loaders import PyPDFLoader\n",
    "from langchain.embeddings import SentenceTransformerEmbeddings\n",
    "from re import search\n",
    "from langchain.document_transformers import LongContextReorder\n",
    "from langchain.chains import RetrievalQA\n",
    "from langchain.llms import OpenAI\n",
    "from langchain.chains import RetrievalQA\n",
    "from langchain_openai import ChatOpenAI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FR8t6Y2s2KHp"
   },
   "source": [
    "### Download the data (you can change it to any pdf you like)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "A9wd_elqjzwe"
   },
   "outputs": [],
   "source": [
    "!wget https://raw.githubusercontent.com/lancedb/vectordb-recipes/main/examples/Advance_RAG_LOTR/Ayurvedic-Home-Remedies-English.pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KhgIyzmc2KHr"
   },
   "source": [
    "## Defining the Embeddings model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 284,
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     ]
    },
    "id": "0_7Zm7nfBlee",
    "outputId": "b949b59e-7ccd-4b17-e5ee-c1ed74c000f0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:sentence_transformers.SentenceTransformer:No sentence-transformers model found with name google/t5-efficient-small-dm768. Creating a new one with mean pooling.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e9ed353ed04b430eb1956dc4621b4e05",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "config.json:   0%|          | 0.00/635 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4adcbb9eb1b64268be5a20059568c8c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "pytorch_model.bin:   0%|          | 0.00/363M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bce4a7a1919140bfb9b69b5d4ff5bf29",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "tokenizer_config.json:   0%|          | 0.00/1.98k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2d6e968ae14b43479ee59ac3b038b9ea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "spiece.model:   0%|          | 0.00/792k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0a2bbdb697ec47fea30d7be6bd8a8d55",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "tokenizer.json:   0%|          | 0.00/1.39M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "222be64f58fe46d9b60083d02085326d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "special_tokens_map.json:   0%|          | 0.00/1.79k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "medical_health_embedding = SentenceTransformerEmbeddings(\n",
    "    model_name=\"NeuML/pubmedbert-base-embeddings\"\n",
    ")\n",
    "\n",
    "all_mini = HuggingFaceEmbeddings(model_name=\"google/t5-efficient-small-dm768\")\n",
    "\n",
    "filter_embeddings = OpenAIEmbeddings(\n",
    "    model=\"text-embedding-ada-002\"\n",
    ")  ## second embedding model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WsckVg2d2KHs"
   },
   "source": [
    "## Load the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "FDSaasxS2KHs"
   },
   "outputs": [],
   "source": [
    "# load single pdfz\n",
    "loader = PyPDFLoader(\"Ayurvedic-Home-Remedies-English.pdf\")\n",
    "pages = loader.load_and_split()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "h2xYg3yM2KHs"
   },
   "source": [
    "## Define the text splitter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "B3f7iAV22KHs"
   },
   "outputs": [],
   "source": [
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n",
    "text = text_splitter.split_documents(pages)\n",
    "# text_esops = text_splitter.split_documents(documnet_esops)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "okOgh8BZ2KHs"
   },
   "source": [
    "### First Embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "n1Esdf-K2KHs"
   },
   "outputs": [],
   "source": [
    "# embedding model 1\n",
    "# Initialize LanceDB retriever\n",
    "db_all = LanceDB.from_documents(text, all_mini)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SeS6h9512KHs"
   },
   "source": [
    "### Second Embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "VyJw18Fl2KHs"
   },
   "outputs": [],
   "source": [
    "# embedding model 2\n",
    "# Initialize LanceDB retriever\n",
    "db_multiqa = LanceDB.from_documents(text, medical_health_embedding)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7rUHMpMEBCOV"
   },
   "source": [
    "### Merge all the retrievers\n",
    "This will hold the outputs from both the retrievers and can be used as any other retriever on different types of chains.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "XKf1FkESz3Fh"
   },
   "outputs": [],
   "source": [
    "# med retriever\n",
    "retriever_med = db_all.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": 5})\n",
    "\n",
    "# bge embeddings\n",
    "retriever_bge = db_multiqa.as_retriever(\n",
    "    search_type=\"similarity\", search_kwargs={\"k\": 5}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "NbB4jfV826f0",
    "outputId": "ffd9deba-3843-4539-e89a-8cd8aecd84eb"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-16-f2ef47f3bf89>:5: LangChainDeprecationWarning: The method `BaseRetriever.get_relevant_documents` was deprecated in langchain-core 0.1.46 and will be removed in 1.0. Use invoke instead.\n",
      "  for chunks in lotr.get_relevant_documents(\"What is use of tulsi ?\"):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In general too spicy, salty, chilly, sour, preserved \n",
      "items fried food, heavy, indigestible, too cold & hot, \n",
      "stale food and the food that do not suit the health \n",
      "should be avoided.\n",
      "Irregular food habit, sleep and lack of physical \n",
      "exercise is main cause for may diseases.\n",
      "Too much tea, coffee, should be avoided. Tobacco, \n",
      "alcohol and drugs should not be taken.\n",
      "Mental stress should be tackled by recreation such \n",
      "as meditation, prayer, sports, exercises, yoga & \n",
      "other activities of individual's choice.\n",
      "TULSI\n",
      "(Ocimum sanctum,  Tulasi)\n",
      "Cough/ Cold \n",
      "Fever\n",
      "Skin allergy\n",
      "Indigestion/ \n",
      "Loss of appetite\n",
      "Greying of hair \n",
      "W ound/ulcer \n",
      "Ear pain5-10 ml. juice twice or thrice a day \n",
      "with honey.\n",
      "30 ml. decoction from handful of \n",
      "leaves & 5 gm. Dhania  thrice a \n",
      "day.\n",
      "5-10 ml. juice twice or thrice daily. \n",
      "5-10 ml. juice twice or thrice daily.\n",
      "Coconut oil processed with Tulsi  \n",
      "juice for regular use.\n",
      "Juice mixed with honey & Haldi  \n",
      "powder for application.\n",
      "2-3 luke warm drops 2 times daily \n",
      "(D o n o t use w hen th ere is \n",
      "discharge).\n",
      "25\n",
      "TAYPHAL\n",
      "(Myristica fragm ns  Houtt., Jatiphala)\n",
      "Diarrhoea in children\n",
      "Irritability\n",
      "Black pigmentation\n",
      "Abdominal painA pinch of powder or fruit rubbed \n",
      "on a clean surface with milk or water \n",
      "should be given 3-4 times a day.\n",
      "If child is restless & irritable 1-2 pinch \n",
      "of powder given with milk acts as \n",
      "mild sedative. This may be used 3-4 \n",
      "times a day.\n",
      "Black pigmentation over the face is \n",
      "common complaint in ladies especially \n",
      "around menopausal age. Jayphal  \n",
      "rubbed in milk and applied on such \n",
      "areas is helpful.\n",
      "If pain is due to diarrhoea 2 gm. \n",
      "powder with warm water should be \n",
      "taken 4-5 time a day. It reduces the \n",
      "m o tility  of in te stin e  th eir by \n",
      "reducing pain.\n",
      "11\n",
      "INSTRUCTIONS\n",
      "♦ Measurements\n",
      "5gm. = 1 Tea spoon full\n",
      "5ml. = 1 Tea spoon full\n",
      "♦ These p rep aration s are for m ild and chronic \n",
      "conditions. In case patient does not get relief within\n",
      "2-3 days of taking medicine, he/she may consult \n",
      "the nearest doctor.\n",
      "♦ The dose given in the booklet is for adult. For \n",
      "children V i or V\\ of this adult dose may be used.\n",
      "♦ The dosage may be adjusted with little alterations \n",
      "according to the tolerance and desire.\n",
      "♦ These preparations may be used regularly for many \n",
      "days. But in case of any discomfort drug should be \n",
      "stopped immediately.\n",
      "♦ Decoction should be prepared by boiling crushed/ \n",
      "coarsely powdered drug in four parts of water and \n",
      "reducing to one fourth .\n",
      "♦ Juice should be prepared by crushing/ grinding in \n",
      "mixi the fresh drug with little water if required \n",
      "and the juice should be expressed through a clean \n",
      "cloth.\n",
      "♦ Paste should be prepared by crushing/ grinding \n",
      "the drug very finely with desired liquid if required.\n",
      "ii\n",
      "Adrak/ Sonth\n",
      "( Zingiber officinale  Rose., Ardraka/Sunthi)\n",
      "Indigestion 5 gm. crushed rhizome with salt\n",
      "or ja g g ery  tw ice daily before \n",
      "meal.\n",
      "Ear Pain 2-4 drops of fresh warm juice to\n",
      "be instilled in the ear (don't use \n",
      "when there is discharge)\n",
      "Hoarseness of voice 1-3 gm. powder of dry rhizome\n",
      "w ith honey in three divided \n",
      "doses.\n",
      "10-20 ml. decoction prepared from \n",
      "2 gm.of dry rhizome twice a day.\n",
      "2-5 gm. powder of dry rhizome \n",
      "w ith  ja g g e ry  th rice a day in \n",
      "divided doses.\n",
      "10ml. decoction prepared from a \n",
      "piece of ginger every morning \n",
      "prevents recurrent attack of cold. \n",
      "Warm paste should be applied over \n",
      "forehead upto 3A times a day.\n",
      "5 ml. juice in a glass of butter milk \n",
      "with lemon & salt.Aches & pains \n",
      "Cold/Cou& n\n",
      "Headache \n",
      "Abdominal pain\n",
      "1\n",
      "LAHSUN\n",
      "(.Allium sativum  Linn., Rasona)\n",
      "Ear pain\n",
      "Flatulence \n",
      "Gough/ Gold\n",
      "Joint pain2-4 drops of warm fresh juice for \n",
      "instillation in ear twice a day \n",
      "(Don't use when there is discharge).\n",
      "or little paste boiled in coconut or \n",
      "mustard oil should be filled in ear\n",
      "2-3 time a day.\n",
      "6 ml. juice with honey twice a day.\n",
      "Crushed bulb boiled in water is to be \n",
      "taken with sugar.\n",
      "5 gm  paste of bulb with honey or with \n",
      "food twice a day.\n",
      "W arm  paste m ixed in any oil \n",
      "should be applied over the joint\n",
      "15\n",
      "ATYAIN\n",
      "(Trachyspremum amrni  Spragne, Yavani)\n",
      "Piles\n",
      "Painful Menses\n",
      "Urticaria \n",
      "(Skin allergy) \n",
      "Abdominal pain\n",
      "Flatulence (gas) \n",
      "Sinusitis \n",
      "Nasal block\n",
      "Loss of appetite1 gm. powder and 1 gm. black- \n",
      "salt with butter-milk twice daily.\n",
      "1-2 gm. pow der of seeds with \n",
      "warm milk thrice a day for 2-3 \n",
      "days .\n",
      "1-2 gm. powder of seeds with \n",
      "water twice daily.\n",
      "1 gm. powder with luke warm \n",
      "water twice or thrice.\n",
      "2 gm. ajvain powder with equal \n",
      "quantity of Saunf  powder with \n",
      "warm water.\n",
      "warm paste should be applied \n",
      "over freehead & little below the \n",
      "eyes in the morning.\n",
      "1-2 gm powder should be put in\n",
      "steaming water & vapour should \n",
      "be inhaled; 2-3 time a day.\n",
      "1 gm. powder with warm water \n",
      "1/2 hour before meals.\n",
      "2\n",
      "treatment more dangerous than the disease itself. As a \n",
      "contrast Ayurveda preaches gentle way of treatment mainly \n",
      "based on herbs and diet. Many of most effected drugs are \n",
      "simple, easily available and can be prepared at home.\n",
      "This Booklet offers some simple recipes prepared from \n",
      "the materials available in and around the kitchen, For simple \n",
      "problems like cough, cold, indigestion etc, these preparations \n",
      "are very effective. For chronic problems like diabetes, joint \n",
      "pain, skin diseases these remedies may be used even along \n",
      "with other medication.\n",
      "I hope that this booklet will be beneficial to the readers.\n",
      "G. VELUCHAMY\n",
      "Director\n",
      "KALIMIRACH\n",
      "( Piper nigrum  Linn., Maricha)\n",
      "Skin diseases \n",
      "Hoarseness of voice \n",
      "Hiccough \n",
      "Indigestion\n",
      "Loss of appetite\n",
      "Bleeding gums/ \n",
      "tartar/ bad breathCough 1 gm. powder of seeds with ghee \n",
      "and honey twice daily.\n",
      "Little powder with coconut oil for \n",
      "local application.\n",
      "1-2 gm. powder of seed fried with \n",
      "ghee twice daily, to keep in mouth.\n",
      "1-2 gm. powder of seeds with sugar \n",
      "twice daily.\n",
      "A pinch of powder with a piece \n",
      "of cru sh ed  ginger & rock salt \n",
      "should be taken before meal.\n",
      "A pinch of pow der with 2 tea \n",
      "spoon full of lem on juice with \n",
      "water V2 hour before food.\n",
      "P in ch  of p o w d er m ixed w ith \n",
      "honey\n",
      "should be applied to gums after \n",
      "gargling with warm salt water twice \n",
      "a day.\n",
      "13\n",
      "In general too spicy, salty, chilly, sour, preserved \n",
      "items fried food, heavy, indigestible, too cold & hot, \n",
      "stale food and the food that do not suit the health \n",
      "should be avoided.\n",
      "Irregular food habit, sleep and lack of physical \n",
      "exercise is main cause for may diseases.\n",
      "Too much tea, coffee, should be avoided. Tobacco, \n",
      "alcohol and drugs should not be taken.\n",
      "Mental stress should be tackled by recreation such \n",
      "as meditation, prayer, sports, exercises, yoga & \n",
      "other activities of individual's choice.\n"
     ]
    }
   ],
   "source": [
    "# merger retriever\n",
    "lotr = MergerRetriever(retrievers=[retriever_med, retriever_bge])\n",
    "\n",
    "for chunks in lotr.get_relevant_documents(\"What is use of tulsi ?\"):\n",
    "    print(chunks.page_content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DwLONNmSBKyz"
   },
   "source": [
    "### Remove **redundant results** from the merged retrievers\n",
    "EmbeddingsRedundantFilter drops redundant documents by comparing their embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Wf7tdUZLCne4",
    "outputId": "86f7a24c-69c9-4c11-d0e5-9dbe55e63939"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n",
      "TULSI\n",
      "(Ocimum sanctum,  Tulasi)\n",
      "Cough/ Cold \n",
      "Fever\n",
      "Skin allergy\n",
      "Indigestion/ \n",
      "Loss of appetite\n",
      "Greying of hair \n",
      "W ound/ulcer \n",
      "Ear pain5-10 ml. juice twice or thrice a day \n",
      "with honey.\n",
      "30 ml. decoction from handful of \n",
      "leaves & 5 gm. Dhania  thrice a \n",
      "day.\n",
      "5-10 ml. juice twice or thrice daily. \n",
      "5-10 ml. juice twice or thrice daily.\n",
      "Coconut oil processed with Tulsi  \n",
      "juice for regular use.\n",
      "Juice mixed with honey & Haldi  \n",
      "powder for application.\n",
      "2-3 luke warm drops 2 times daily \n",
      "(D o n o t use w hen th ere is \n",
      "discharge).\n",
      "25\n"
     ]
    }
   ],
   "source": [
    "# Remove redundant results from the merged retrievers EmbeddingsRedundantFilter drops redundant documents by comparing their embeddings\n",
    "filter = EmbeddingsRedundantFilter(embeddings=all_mini)\n",
    "\n",
    "reordering = LongContextReorder()\n",
    "\n",
    "pipeline = DocumentCompressorPipeline(transformers=[filter, reordering])\n",
    "compression_retriever_reordered = ContextualCompressionRetriever(\n",
    "    base_compressor=pipeline,\n",
    "    base_retriever=lotr,\n",
    "    search_kwargs={\"k\": 5},\n",
    ")\n",
    "\n",
    "docs = compression_retriever_reordered.get_relevant_documents(\"What is use of tulsi ?\")\n",
    "print(len(docs))\n",
    "\n",
    "print(docs[0].page_content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RpjqmBvq2KHu"
   },
   "source": [
    "### Chat with the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "g9Ws-DuBER95"
   },
   "outputs": [],
   "source": [
    "llm = ChatOpenAI(openai_api_key=os.environ[\"OPENAI_API_KEY\"])\n",
    "\n",
    "qa = RetrievalQA.from_chain_type(\n",
    "    llm=llm,\n",
    "    chain_type=\"stuff\",\n",
    "    retriever=compression_retriever_reordered,\n",
    "    return_source_documents=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "M2B2w8U1E3Nq",
    "outputId": "1a9a7fbc-ef98-412d-a28f-f8a3e4b48139"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-19-a3e1f0ab1727>:2: LangChainDeprecationWarning: The method `Chain.__call__` was deprecated in langchain 0.1.0 and will be removed in 1.0. Use invoke instead.\n",
      "  results = qa(query)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tulsi, also known as Ocimum sanctum, has various uses in traditional medicine. It is used for cough, cold, fever, skin allergies, indigestion, loss of appetite, greying of hair, wounds, ulcers, and ear pain. The juice of Tulsi can be taken with honey for cough, cold, and fever. It can also be used topically for skin allergies and hair care. Additionally, Tulsi can be processed with coconut oil for regular use and can be made into a decoction for various ailments.\n",
      "[_DocumentWithState(metadata={'page': 31, 'source': 'Ayurvedic-Home-Remedies-English.pdf'}, page_content='TULSI\\n(Ocimum sanctum,  Tulasi)\\nCough/ Cold \\nFever\\nSkin allergy\\nIndigestion/ \\nLoss of appetite\\nGreying of hair \\nW ound/ulcer \\nEar pain5-10 ml. juice twice or thrice a day \\nwith honey.\\n30 ml. decoction from handful of \\nleaves & 5 gm. Dhania  thrice a \\nday.\\n5-10 ml. juice twice or thrice daily. \\n5-10 ml. juice twice or thrice daily.\\nCoconut oil processed with Tulsi  \\njuice for regular use.\\nJuice mixed with honey & Haldi  \\npowder for application.\\n2-3 luke warm drops 2 times daily \\n(D o n o t use w hen th ere is \\ndischarge).\\n25', state={'embedded_doc': [-0.06756372004747391, 0.16437143087387085, 0.34118711948394775, 0.09522237628698349, 0.12215760350227356, 0.027986429631710052, 0.0824221670627594, 0.06036560982465744, 0.013035726733505726, -0.05315070599317551, 0.3120591640472412, -0.1428656131029129, -0.03151257336139679, -0.0317557230591774, -0.006489086896181107, -0.2583296298980713, 0.2598368525505066, -0.04527808725833893, 0.10299231112003326, -0.04375305026769638, -0.18381749093532562, -0.18991222977638245, -0.9455776810646057, 0.003353601321578026, 0.14545856416225433, -0.10844609886407852, 0.0730593353509903, -0.10127021372318268, 0.16892485320568085, 0.002757467795163393, 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page_content='INSTRUCTIONS\\n♦ Measurements\\n5gm. = 1 Tea spoon full\\n5ml. = 1 Tea spoon full\\n♦ These p rep aration s are for m ild and chronic \\nconditions. In case patient does not get relief within\\n2-3 days of taking medicine, he/she may consult \\nthe nearest doctor.\\n♦ The dose given in the booklet is for adult. For \\nchildren V i or V\\\\ of this adult dose may be used.\\n♦ The dosage may be adjusted with little alterations \\naccording to the tolerance and desire.\\n♦ These preparations may be used regularly for many \\ndays. But in case of any discomfort drug should be \\nstopped immediately.\\n♦ Decoction should be prepared by boiling crushed/ \\ncoarsely powdered drug in four parts of water and \\nreducing to one fourth .\\n♦ Juice should be prepared by crushing/ grinding in \\nmixi the fresh drug with little water if required \\nand the juice should be expressed through a clean \\ncloth.\\n♦ Paste should be prepared by crushing/ grinding \\nthe drug very finely with desired liquid if required.\\nii', state={'embedded_doc': [-0.16388975083827972, 0.10461416095495224, 0.4435083866119385, -0.015820208936929703, -0.05735410004854202, 0.005594134330749512, 0.07642752677202225, 0.12339843809604645, 0.12211927026510239, 0.0715634822845459, 0.3471078872680664, -0.1643209010362625, -0.03674419969320297, 0.029031265527009964, -0.06435622274875641, 0.019492538645863533, 0.22033433616161346, -0.021995754912495613, 0.11388727277517319, 0.03491288051009178, 0.10553106665611267, -0.054436635226011276, 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As a \\ncontrast Ayurveda preaches gentle way of treatment mainly \\nbased on herbs and diet. Many of most effected drugs are \\nsimple, easily available and can be prepared at home.\\nThis Booklet offers some simple recipes prepared from \\nthe materials available in and around the kitchen, For simple \\nproblems like cough, cold, indigestion etc, these preparations \\nare very effective. For chronic problems like diabetes, joint \\npain, skin diseases these remedies may be used even along \\nwith other medication.\\nI hope that this booklet will be beneficial to the readers.\\nG. VELUCHAMY\\nDirector', state={'embedded_doc': [-0.07379449903964996, 0.02866428531706333, 0.6406631469726562, -0.04047803580760956, -0.14815616607666016, 0.297242134809494, 0.11190953105688095, 0.15586644411087036, 0.11265239864587784, -0.0243238415569067, 0.22853131592273712, -0.018895398825407028, 0.08350860327482224, 0.1639833152294159, 0.004776759073138237, 0.11055146157741547, 0.22674505412578583, -0.06096269190311432, 0.22918781638145447, -0.05532419681549072, -0.06424371153116226, -0.027019686996936798, -0.8964212536811829, -0.017489776015281677, 0.14015312492847443, -0.0540652796626091, 0.16082502901554108, -0.2643423080444336, 0.12452282011508942, -0.18791517615318298, -0.12527641654014587, 0.28605565428733826, -0.21049417555332184, -0.03956553339958191, 0.1886771023273468, 0.041404254734516144, 0.09522589296102524, -0.054317403584718704, 0.27323561906814575, 0.139593705534935, -0.4034669101238251, 0.22230562567710876, 0.10635273903608322, 0.005262088496237993, 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habit, sleep and lack of physical \\nexercise is main cause for may diseases.\\nToo much tea, coffee, should be avoided. Tobacco, \\nalcohol and drugs should not be taken.\\nMental stress should be tackled by recreation such \\nas meditation, prayer, sports, exercises, yoga & \\nother activities of individual's choice.\", state={'embedded_doc': [-0.200655996799469, -0.0988001599907875, 0.14488522708415985, 0.0664886087179184, 0.006847316399216652, 0.2888423502445221, 0.18360106647014618, 0.2998006343841553, 0.2704651355743408, 0.02258175052702427, 0.2328536957502365, 0.01284630224108696, 0.1287868469953537, 0.18187221884727478, -0.044775377959012985, 0.023661479353904724, 0.13287127017974854, -0.19168275594711304, 0.31893792748451233, -0.11326450109481812, -0.27294790744781494, -6.121012120274827e-05, -1.1683921813964844, -0.05658978968858719, 0.1810137927532196, -0.19324615597724915, 0.15480130910873413, -0.14622829854488373, -0.0030175044666975737, 0.056049514561891556, -0.24692809581756592, 0.32169899344444275, 0.13503409922122955, 0.00279005104675889, 0.09723042696714401, 0.002749949460849166, 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\\nHiccough \\nIndigestion\\nLoss of appetite\\nBleeding gums/ \\ntartar/ bad breathCough 1 gm. powder of seeds with ghee \\nand honey twice daily.\\nLittle powder with coconut oil for \\nlocal application.\\n1-2 gm. powder of seed fried with \\nghee twice daily, to keep in mouth.\\n1-2 gm. powder of seeds with sugar \\ntwice daily.\\nA pinch of powder with a piece \\nof cru sh ed  ginger & rock salt \\nshould be taken before meal.\\nA pinch of pow der with 2 tea \\nspoon full of lem on juice with \\nwater V2 hour before food.\\nP in ch  of p o w d er m ixed w ith \\nhoney\\nshould be applied to gums after \\ngargling with warm salt water twice \\na day.\\n13', state={'embedded_doc': [-0.17833951115608215, 0.22889403998851776, 0.3374522626399994, -0.02686409093439579, 0.16676416993141174, 0.07243261486291885, -0.13807836174964905, 0.06409084796905518, 0.1353733241558075, 0.016686078161001205, 0.32171428203582764, -0.2712537944316864, -0.06169833242893219, 0.16160638630390167, 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vapour should \\nbe inhaled; 2-3 time a day.\\n1 gm. powder with warm water \\n1/2 hour before meals.\\n2', state={'embedded_doc': [-0.13006989657878876, 0.2788207530975342, 0.3944143056869507, 0.052903614938259125, 0.05556636303663254, 0.03748932108283043, 0.03739067539572716, 0.005135267041623592, 0.293840616941452, -0.054500777274370193, 0.38381427526474, -0.18828806281089783, -0.15435059368610382, -0.06867217272520065, 0.03444986045360565, -0.14117829501628876, 0.06983362138271332, 0.052173323929309845, 0.16142503917217255, 0.04987533390522003, -0.2411176711320877, -0.19879145920276642, -1.0085813999176025, 0.008813254535198212, 0.08329293876886368, -0.055631838738918304, 0.1642468124628067, -0.10756172239780426, 0.08750651776790619, 0.02697627991437912, 0.06823468208312988, 0.19381128251552582, 0.10542040318250656, -0.033665262162685394, 0.22091124951839447, -0.1171046644449234, 0.04194503277540207, 0.10364385694265366, 0.30985891819000244, 0.16114099323749542, 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of fresh warm juice to\\nbe instilled in the ear (don't use \\nwhen there is discharge)\\nHoarseness of voice 1-3 gm. powder of dry rhizome\\nw ith honey in three divided \\ndoses.\\n10-20 ml. decoction prepared from \\n2 gm.of dry rhizome twice a day.\\n2-5 gm. powder of dry rhizome \\nw ith  ja g g e ry  th rice a day in \\ndivided doses.\\n10ml. decoction prepared from a \\npiece of ginger every morning \\nprevents recurrent attack of cold. \\nWarm paste should be applied over \\nforehead upto 3A times a day.\\n5 ml. juice in a glass of butter milk \\nwith lemon & salt.Aches & pains \\nCold/Cou& n\\nHeadache \\nAbdominal pain\\n1\", state={'embedded_doc': [-0.21583274006843567, 0.3561549782752991, 0.4513896405696869, 0.10260281711816788, 0.270587682723999, 0.015521126799285412, 0.0352458655834198, 0.09136543422937393, 0.052920058369636536, -0.0631590485572815, 0.4029729664325714, -0.15758423507213593, -0.0927480086684227, 0.03280957043170929, 0.07656553387641907, 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This may be used 3-4 \\ntimes a day.\\nBlack pigmentation over the face is \\ncommon complaint in ladies especially \\naround menopausal age. Jayphal  \\nrubbed in milk and applied on such \\nareas is helpful.\\nIf pain is due to diarrhoea 2 gm. \\npowder with warm water should be \\ntaken 4-5 time a day. It reduces the \\nm o tility  of in te stin e  th eir by \\nreducing pain.\\n11', state={'embedded_doc': [-0.11726066470146179, 0.05698399618268013, 0.34441861510276794, -0.061243925243616104, 0.08921686559915543, 0.04469279944896698, -0.12280728667974472, 0.15745487809181213, 0.05134551599621773, -0.10657235234975815, 0.4596902132034302, -0.12768599390983582, -0.0644594132900238, 0.06685671210289001, 0.03798666596412659, -0.03707117214798927, 0.21051210165023804, 0.05218183249235153, 0.01685142144560814, 0.05543680861592293, -0.22267566621303558, 0.01109352707862854, -1.0464541912078857, -0.08695327490568161, 0.2614777088165283, -0.13336299359798431, 0.07617081701755524, -0.12005370855331421, -0.018932737410068512, 0.09805567562580109, -0.00841396301984787, 0.10556361079216003, 0.007893227972090244, 0.04931502789258957, 0.25063356757164, 0.07465460896492004, 0.06439553201198578, 0.05098666623234749, 0.3103445768356323, 0.2660602331161499, -0.32532998919487, 0.1435295194387436, 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     ]
    }
   ],
   "source": [
    "query = \"What is use of tulsi?\"\n",
    "results = qa(query)\n",
    "print(results[\"result\"])\n",
    "\n",
    "print(results[\"source_documents\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9b7VAyE_E8t5",
    "outputId": "f5922508-db76-43b8-f2d9-8a6fc980c492"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For a high fever and cough, you can try the following home remedies from the context provided:\n",
      "\n",
      "1. **Tayphal (Myristica fragrans)**:\n",
      "   - For cough, you can try rubbing a pinch of Tayphal powder on a clean surface with milk or water and give it to the person 3-4 times a day.\n",
      "   \n",
      "2. **Elaichi (Elettaria cardamomum)**:\n",
      "   - For cough, you can take 20 ml of a decoction prepared from 5 gm Dhania, 1 gm Methi seeds, and a little turmeric powder 2-3 times a day.\n",
      "   - You can also try taking a little Elaichi powder with a teaspoon of honey 3-4 times a day.\n",
      "   \n",
      "3. **Madhu (Honey)**:\n",
      "   - You can try taking honey with a pinch of pepper powder three to four times a day.\n",
      "   - Additionally, you can mix honey with ghee and apply it.\n",
      "   \n",
      "Please note that these remedies are based on traditional Ayurvedic practices. If the symptoms persist or worsen, it's important to consult a healthcare professional for proper diagnosis and treatment.\n"
     ]
    }
   ],
   "source": [
    "query = \"having high fiver & cough what should i take as home remadies?\"\n",
    "results = qa(query)\n",
    "print(results[\"result\"])\n",
    "\n",
    "# print(results[\"source_documents\"])"
   ]
  }
 ],
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